最大列的宽度 display.max_colwidth 用来设置最大列的宽度。 In [51]: df = pd.DataFrame(...:np.array(...:[...:["foo","bar","bim","uncomfortably long string"],...:["horse","cow","banana","apple"],...:]...:)...:)...:In [52]: pd.set_option("max_colwidth",40) In...
最大列的宽度 display.max_colwidth 用来设置最大列的宽度。 In [51]: df = pd.DataFrame( ...: np.array( ...: [ ...: ["foo", "bar", "bim", "uncomfortably long string"], ...: ["horse", "cow", "banana", "apple"], ...: ] ...: ) ...: ) ...: In [52]: pd.set...
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: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 Available options: - display.[chop_threshold, colheader_justify, column_space, date_dayfirst, date_yearfirst, encoding, expand_frame_repr, float_...
DataFrame'>RangeIndex: 10 entries, 0 to 9Data columns (total 10 columns): # Column Non-Null Count Dtype --- --- --- --- 0 0 10 non-null float64 1 1 10 non-null float64 2 2 10 non-null float64 3 3 10 non-null float64 4 4 10 non-null float64 5 5 10 non-null float...
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 then specified. display.max_rows 60 This sets the maximum number of rows pandas should output whe...
display.max_colwidth 50 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. ‘None’ value means unlimited. display.max_info_columns 100 max_info_columns is used in DataFrame.info ...
df.loc[:, column_label] 这个方法用于选取某一列数据,其中 column_label 是列标签。第一个 “:” 表示选取所有行。 3. 选取不连续的特定行和列的数据 df.loc[row_label, column_label] 4. 选取连续的行或者列的数据(切片) df.loc[row1_label:row2_label,col1_label,col2_label] 这个方法用于选取多...
column:插入的列名 value:插入的值 allow_duplicates:是否允许列名重复,默认为Flase。 3、drop() labels:单个标签或标签列表。 axis:{0或'index',1或'columns'},是从索引还是列中删除标签,默认0,从行索引中删除。 index:单个标签或标签列表: columns = labels 等效于 labels,axis=1。
[currently: utf8]display.expand_frame_repr : booleanWhether to print out the full DataFrame repr for wide DataFrames acrossmultiple lines, `max_columns` is still respected, but the output willwrap-around across multiple "pages" if its width exceeds `display.width`.[default: True] [currently:...
limit：前向或者后向填充的最大连续缺失值的数量 2. 用插值法填充 DataFrame.interpolate(method=’...