目录
一、问题
二、解决方法
2.1 找到URL
2.2 获取IP地址
2.3 修改hosts
三、最后说几句


好几个星期之前本人就发现自己的github在网页打开显示不了图片的问题了，不过当时没在意。

今天强迫症逼迫我一定要搞定它，于是去找了一些方法，自己做个记录，有相同问题的伙伴可以参考一下。
一、问题
比如随便打开一个项目，图片都不能显示了，我头像也没了，真是一个令人伤心的事



F12打开控制台看一哈



呦，一堆红色×。主要报错是Failed to load resource: net::ERR_CERT_COMMON_NAME_INVALID
去查了一下，博主john-zeng这样解释道：

实际上，可以认为，ERR_CERT_COMMON_NAME_INVALID就是用一个错误的域名访问了某个节点的https资源。导致这个错误的原因，基本是：

dns污染
host设置错误
官方更新了dns，但是dns缓存没有被更新，导致错误解析。


我觉得像是有点道理，解决方法就粗来了，hin简单，往下看。
二、解决方法
主要思路就是使用本地hosts文件对网站进行域名解析，一般的DNS问题都可以通过修改hosts文件来解决，github的CDN域名被污染问题也不例外，同样可以通过修改hosts文件解决，将域名解析直接指向IP地址来绕过DNS的解析，以此解决污染问题。
2.1 找到URL
打开github任意未显示图片的网页，使用元素选择器（Ctrl+Shift+C）放在显示不了的图片上，或者在无法显示的图片上右键-检查元素，定位到该图片的标签，那么你得到了它的URL，叫做src属性。
比如介个

在右面把它的网址复制粗来：
https://avatars2.githubusercontent.com/u/15832957?s=60&v=4
2.2 获取IP地址
得到上述网址以后打开IPAddress.com这个网站，在搜索框输入它的域名，就是https://到com那一部分，俗称二级域名：
avatars2.githubusercontent.com



回车！！！下面你会看到该域名的信息和IP地址：



可以看出IP是：151.101.184.133，并且是2019.05.05最后更新的，alright，那么我们就可以使这个IP和域名映射起来。
（其他如果有挂掉的图片一样使用此方法进行一一映射即可。）
2.3 修改hosts
具体咋映射呢？修改hosts文件！！！本人使用的是windows系统，所以使用Sublime Text打开：C:\Windows\System32\drivers\etc\hosts
在文件末尾添加：


可以直接选中以下内容复制粘贴，20210119有效（包括MAC系统）20210123更新
# GitHub Start 
140.82.113.3      github.com
140.82.114.20     gist.github.com

151.101.184.133    assets-cdn.github.com
151.101.184.133    raw.githubusercontent.com
199.232.28.133     raw.githubusercontent.com 
151.101.184.133    gist.githubusercontent.com
151.101.184.133    cloud.githubusercontent.com
151.101.184.133    camo.githubusercontent.com
199.232.96.133     avatars.githubusercontent.com
151.101.184.133    avatars0.githubusercontent.com
199.232.68.133     avatars0.githubusercontent.com
199.232.28.133     avatars0.githubusercontent.com 
199.232.28.133     avatars1.githubusercontent.com
151.101.184.133    avatars1.githubusercontent.com
151.101.108.133    avatars1.githubusercontent.com
151.101.184.133    avatars2.githubusercontent.com
199.232.28.133     avatars2.githubusercontent.com
151.101.184.133    avatars3.githubusercontent.com
199.232.68.133     avatars3.githubusercontent.com
151.101.184.133    avatars4.githubusercontent.com
199.232.68.133     avatars4.githubusercontent.com
151.101.184.133    avatars5.githubusercontent.com
199.232.68.133     avatars5.githubusercontent.com
151.101.184.133    avatars6.githubusercontent.com
199.232.68.133     avatars6.githubusercontent.com
151.101.184.133    avatars7.githubusercontent.com
199.232.68.133     avatars7.githubusercontent.com
151.101.184.133    avatars8.githubusercontent.com
199.232.68.133     avatars8.githubusercontent.com
199.232.96.133     avatars9.githubusercontent.com

# GitHub End

然后保存文件就OK了，至于无法保存，没有修改权限，鼠标右键-属性-安全-修改权限；或将hosts文件复制一份，修改之后，复制到原文件夹替换！
三、最后说几句
还可以使用ipconfig/flush对本地DNS缓存进行一次刷新，如果遇到网络异常，可能是DNS缓存的问题，刷新一下，步骤。

windows开始→运行→输入：CMD 按回车键，打开命令提示符窗口。
再输入： ipconfig /flushdns 回车,执行命令，可以重建本地DNS缓存。

再附上几个命令：
ipconfig /displaydns # 显示dns缓存 

ipconfig /flushdns # 刷新DNS记录 

ipconfig /renew # 重请从DHCP服务器获得IP 

PS：另外要注意的一点就是，如果图片再次不能显示，只需要及时更新IP就行啦，这波操作不麻烦，你看我头像回来了！！！





哈哈哈，没错，是李现

解决 Windows 照片查看器无法显示此图片，因为计算机上的可用内存可能不足
解决 Windows 照片查看器无法显示此图片，因为计算机上的可用内存可能不足
问题描述
问题分析
解决办法一
解决办法二

解决 Windows 照片查看器无法显示此图片，因为计算机上的可用内存可能不足

系统：Win10

问题描述
最近在使用 Windows 照片查看器打开一个 jpg 文件的时候异常

Windows 照片查看器无法显示此图片，因为计算机上的可用内存可能不足。请关闭一些目前没有使用的程序或者释放部分硬盘空间（如果硬盘几乎已满），然后重试


问题分析
这时我们按 F11 或者图片下方中间的放映幻灯片按钮，可以查看图片，说明本身是没有问题的，而且一般导致该问题的图片都是照相机拍出来的，那是因为 Windows 图片查看器软件根本识别不了照片里的颜色，一直加载一直识别不了造成内存不足报警（因为报错时间极短，不像是过大的数据量溢出，应该是图片的某些数据超出了该软件能够处理的内存地址范围造成的）
解决办法一
使用画图软件或者其他软件打开该图片

而且，也可以选择用画图将该图片另存为 bmp 格式图片，就可以用 Windows 图片查看器打开了


解决办法二
进入控制面板，查看方式用小图标，选择颜色管理



选择高级，将设备配置文件改为：Agfa 这个选项，关闭，再重新打开原来的图片，基本都能解决了

有时候DataFrame中的行列数量太多，print打印出来会显示不完全。就像下图这样：
列显示不全：

行显示不全：

添加如下代码，即可解决。
#显示所有列
pd.set_option('display.max_columns', None)
#显示所有行
pd.set_option('display.max_rows', None)
#设置value的显示长度为100，默认为50
pd.set_option('max_colwidth',100)

根据自己的需要更改相应的设置即可。
ps：set_option()的所有属性：
Available options:

- display.[chop_threshold, colheader_justify, column_space, date_dayfirst,
  date_yearfirst, encoding, expand_frame_repr, float_format, height, large_repr]
- display.latex.[escape, longtable, repr]
- display.[line_width, max_categories, max_columns, max_colwidth,
  max_info_columns, max_info_rows, max_rows, max_seq_items, memory_usage,
  mpl_style, multi_sparse, notebook_repr_html, pprint_nest_depth, precision,
  show_dimensions]
- display.unicode.[ambiguous_as_wide, east_asian_width]
- display.[width]
- io.excel.xls.[writer]
- io.excel.xlsm.[writer]
- io.excel.xlsx.[writer]
- io.hdf.[default_format, dropna_table]
- mode.[chained_assignment, sim_interactive, use_inf_as_null]

Parameters
----------
pat : str
    Regexp which should match a single option.
    Note: partial matches are supported for convenience, but unless you use the
    full option name (e.g. x.y.z.option_name), your code may break in future
    versions if new options with similar names are introduced.
value :
    new value of option.

Returns
-------
None

Raises
------
OptionError if no such option exists

Notes
-----
The available options with its descriptions:

display.chop_threshold : float or None
    if set to a float value, all float values smaller then the given threshold
    will be displayed as exactly 0 by repr and friends.
    [default: None] [currently: None]

display.colheader_justify : 'left'/'right'
    Controls the justification of column headers. used by DataFrameFormatter.
    [default: right] [currently: right]

display.column_space No description available.
    [default: 12] [currently: 12]

display.date_dayfirst : boolean
    When True, prints and parses dates with the day first, eg 20/01/2005
    [default: False] [currently: False]

display.date_yearfirst : boolean
    When True, prints and parses dates with the year first, eg 2005/01/20
    [default: False] [currently: False]

display.encoding : str/unicode
    Defaults to the detected encoding of the console.
    Specifies the encoding to be used for strings returned by to_string,
    these are generally strings meant to be displayed on the console.
    [default: UTF-8] [currently: UTF-8]

display.expand_frame_repr : boolean
    Whether to print out the full DataFrame repr for wide DataFrames across
    multiple lines, `max_columns` is still respected, but the output will
    wrap-around across multiple "pages" if its width exceeds `display.width`.
    [default: True] [currently: True]

display.float_format : callable
    The callable should accept a floating point number and return
    a string with the desired format of the number. This is used
    in some places like SeriesFormatter.
    See formats.format.EngFormatter for an example.
    [default: None] [currently: None]

display.height : int
    Deprecated.
    [default: 60] [currently: 60]
    (Deprecated, use `display.max_rows` instead.)

display.large_repr : 'truncate'/'info'
    For DataFrames exceeding max_rows/max_cols, the repr (and HTML repr) can
    show a truncated table (the default from 0.13), or switch to the view from
    df.info() (the behaviour in earlier versions of pandas).
    [default: truncate] [currently: truncate]

display.latex.escape : bool
    This specifies if the to_latex method of a Dataframe uses escapes special
    characters.
    method. Valid values: False,True
    [default: True] [currently: True]

display.latex.longtable :bool
    This specifies if the to_latex method of a Dataframe uses the longtable
    format.
    method. Valid values: False,True
    [default: False] [currently: False]

display.latex.repr : boolean
    Whether to produce a latex DataFrame representation for jupyter
    environments that support it.
    (default: False)
    [default: False] [currently: False]

display.line_width : int
    Deprecated.
    [default: 80] [currently: 80]
    (Deprecated, use `display.width` instead.)

display.max_categories : int
    This sets the maximum number of categories pandas should output when
    printing out a `Categorical` or a Series of dtype "category".
    [default: 8] [currently: 8]

display.max_columns : int
    If max_cols is exceeded, switch to truncate view. Depending on
    `large_repr`, objects are either centrally truncated or printed as
    a summary view. 'None' value means unlimited.

    In case python/IPython is running in a terminal and `large_repr`
    equals 'truncate' this can be set to 0 and pandas will auto-detect
    the width of the terminal and print a truncated object which fits
    the screen width. The IPython notebook, IPython qtconsole, or IDLE
    do not run in a terminal and hence it is not possible to do
    correct auto-detection.
    [default: 20] [currently: 20]

display.max_colwidth : int
    The maximum width in characters of a column in the repr of
    a pandas data structure. When the column overflows, a "..."
    placeholder is embedded in the output.
    [default: 50] [currently: 200]

display.max_info_columns : int
    max_info_columns is used in DataFrame.info method to decide if
    per column information will be printed.
    [default: 100] [currently: 100]

display.max_info_rows : int or None
    df.info() will usually show null-counts for each column.
    For large frames this can be quite slow. max_info_rows and max_info_cols
    limit this null check only to frames with smaller dimensions than
    specified.
    [default: 1690785] [currently: 1690785]

display.max_rows : int
    If max_rows is exceeded, switch to truncate view. Depending on
    `large_repr`, objects are either centrally truncated or printed as
    a summary view. 'None' value means unlimited.

    In case python/IPython is running in a terminal and `large_repr`
    equals 'truncate' this can be set to 0 and pandas will auto-detect
    the height of the terminal and print a truncated object which fits
    the screen height. The IPython notebook, IPython qtconsole, or
    IDLE do not run in a terminal and hence it is not possible to do
    correct auto-detection.
    [default: 60] [currently: 60]

display.max_seq_items : int or None
    when pretty-printing a long sequence, no more then `max_seq_items`
    will be printed. If items are omitted, they will be denoted by the
    addition of "..." to the resulting string.

    If set to None, the number of items to be printed is unlimited.
    [default: 100] [currently: 100]

display.memory_usage : bool, string or None
    This specifies if the memory usage of a DataFrame should be displayed when
    df.info() is called. Valid values True,False,'deep'
    [default: True] [currently: True]

display.mpl_style : bool
    Setting this to 'default' will modify the rcParams used by matplotlib
    to give plots a more pleasing visual style by default.
    Setting this to None/False restores the values to their initial value.
    [default: None] [currently: None]

display.multi_sparse : boolean
    "sparsify" MultiIndex display (don't display repeated
    elements in outer levels within groups)
    [default: True] [currently: True]

display.notebook_repr_html : boolean
    When True, IPython notebook will use html representation for
    pandas objects (if it is available).
    [default: True] [currently: True]

display.pprint_nest_depth : int
    Controls the number of nested levels to process when pretty-printing
    [default: 3] [currently: 3]

display.precision : int
    Floating point output precision (number of significant digits). This is
    only a suggestion
    [default: 6] [currently: 6]

display.show_dimensions : boolean or 'truncate'
    Whether to print out dimensions at the end of DataFrame repr.
    If 'truncate' is specified, only print out the dimensions if the
    frame is truncated (e.g. not display all rows and/or columns)
    [default: truncate] [currently: truncate]

display.unicode.ambiguous_as_wide : boolean
    Whether to use the Unicode East Asian Width to calculate the display text
    width.
    Enabling this may affect to the performance (default: False)
    [default: False] [currently: False]

display.unicode.east_asian_width : boolean
    Whether to use the Unicode East Asian Width to calculate the display text
    width.
    Enabling this may affect to the performance (default: False)
    [default: False] [currently: False]

display.width : int
    Width of the display in characters. In case python/IPython is running in
    a terminal this can be set to None and pandas will correctly auto-detect
    the width.
    Note that the IPython notebook, IPython qtconsole, or IDLE do not run in a
    terminal and hence it is not possible to correctly detect the width.
    [default: 80] [currently: 80]

io.excel.xls.writer : string
    The default Excel writer engine for 'xls' files. Available options:
    'xlwt' (the default).
    [default: xlwt] [currently: xlwt]

io.excel.xlsm.writer : string
    The default Excel writer engine for 'xlsm' files. Available options:
    'openpyxl' (the default).
    [default: openpyxl] [currently: openpyxl]

io.excel.xlsx.writer : string
    The default Excel writer engine for 'xlsx' files. Available options:
    'xlsxwriter' (the default), 'openpyxl'.
    [default: xlsxwriter] [currently: xlsxwriter]

io.hdf.default_format : format
    default format writing format, if None, then
    put will default to 'fixed' and append will default to 'table'
    [default: None] [currently: None]

io.hdf.dropna_table : boolean
    drop ALL nan rows when appending to a table
    [default: False] [currently: False]

mode.chained_assignment : string
    Raise an exception, warn, or no action if trying to use chained assignment,
    The default is warn
    [default: warn] [currently: warn]

mode.sim_interactive : boolean
    Whether to simulate interactive mode for purposes of testing
    [default: False] [currently: False]

mode.use_inf_as_null : boolean
    True means treat None, NaN, INF, -INF as null (old way),
    False means None and NaN are null, but INF, -INF are not null
    (new way).
    [default: False] [currently: False]

IntelliJ IDEA使用教程 （总目录篇）

工具栏：就是上面有个好多的快捷按钮的那个栏，比如撤销，上传，下载设置，扳手按钮，等等。

目录栏，就是刚刚装的时候，这个会显示，但是不知道怎么关闭，但是这个又没什么用。

如图：



就是对应的几个按钮，自己试试就知道什么效果了。

我写完文章，给自己点个赞，不过分吧，

不过分，那我可就点啦啊。

我先点为敬，你们随意。大家随意。不要客气。。。

 

应楼下某位老铁的问题，又新增了2个图。走过路过，不要错过，随便看看哟。