# 运行以下代码crime.info()<class 'pandas.core.frame.DataFrame'>RangeIndex: 55 entries, 0 to 54Data columns (total 12 columns): # Column Non-Null Count Dtype--- ------ -------------- ---
null_counts:是否显示缺失值计数。 使用实例:df.info() 输出结果:<class 'pandas.core.frame.DataFrame'>RangeIndex: 3 entries, 0 to 2Data columns (total 3 columns): # Column Non-Null Count Dtype--- --- --- --- 0 A 3 non-null int64 1 B 3 non-null int64 2 C 3 non-null int64dtyp...
df.info(memory_usage='deep')<class'pandas.core.frame.DataFrame'>RangeIndex:307870entries,0to307869Datacolumns(total16columns):起点城市307870non-nullobject 起点城市代码307870non-nullint64 起点城市lng291690non-nullfloat64 起点城市lat291690non-nullfloat64 终点城市307870non-nullobject 终点城市代码307870non-...
import pandas as pdnrows = 10000# 每次读取的行数df = pd.read_csv('large_file.csv', nrows=nrows):我们可以使用 info 函数来查看使用了多少内存。df.info()输出：<class 'pandas.core.frame.DataFrame'>RangeIndex:3 entries, to 2Data columns (total 2 columns):# Column Non-Null Count Dt...
df.info() output <class 'pandas.core.frame.DataFrame'> RangeIndex: 4 entries, 0 to 3 Data columns (total 8 columns): # Column Non-Null Count Dtype --- --- --- --- 0 string_col 4 non-null object 1 int_col 4 non-null
df.info() <class'pandas.core.frame.DataFrame'>RangeIndex: 3747 entries, 0 to 3746 Data columns (total 4 columns): 9 3747 non-null int64 上海3747 non-null object 地铁站 3747 non-null object 富锦路租房 3747 non-null object dtypes: int64(1), object(3) ...
df.info() 运行上述代码后,输出将类似于: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 <class'pandas.core.frame.DataFrame'>RangeIndex:4entries,0to3Datacolumns(total3columns):# Column Non-Null Count Dtype---0Name4non-nullobject1Age4non-nullint642City4non-nullobjectdtypes:int64(1),object...
#检查数据缺失情况df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 82644 entries, 0 to 82643 Data columns (total 10 columns): Region 82644 non-null object Garden 82644 non-null object Layout 82644 non-null object Area 82644 non-null float64 ...
print(df.info()) 输出结果为: <class'pandas.core.frame.DataFrame'>RangeIndex: 458 entries, 0 to 457 # 行数,458 行,第一行编号为 0 Data columns (total 9 columns): # 列数,9列 # Column Non-Null Count Dtype # 各列的数据类型 --- --- --- --- 0 Name 457 non-null object 1 Tea...
In [7]: df.info(memory_usage="deep") <class 'pandas.core.frame.DataFrame'> RangeIndex: 5000 entries, 0 to 4999 Data columns (total 8 columns): # Column Non-Null Count Dtype --- --- --- --- 0 int64 5000 non-null int64 1 float64 5000 non-null float64 2 datetime64[ns] 5000...