dtype: datetime64[ns] In [566]: store.select_column("df_dc", "string") Out[566]: 0 foo 1 foo 2 foo 3 foo 4 NaN 5 NaN 6 foo 7 bar Name: string, dtype: object
max_rows and max_columns are used in repr() methods to decide if to_string() or info() is used to render an object to a string. In case Python/IPython is running in a terminal this is set to 0 by default and pandas will correctly auto-detect the width of the terminal and switch...
'b', 'c', 'd', 'e', 'f']In [85]: x[4:10]Out[85]: ['e', 'f']In [86]: x[8:10]Out[86]: []In [87]: s = pd.Series(x)In [88]: sOut[88]:0 a1 b2 c3 d4 e5 fdtype: objectIn [89]: s.iloc[4:10]Out[89]:4 e5 fdtype: objectIn [90]:...
dtype: datetime64[ns]In [566]: store.select_column("df_dc", "string")Out[566]:0 foo1 foo2 foo3 foo4 NaN5 NaN6 foo7 barName: string, dtype: object
df.dtypes col1 int64 col2 int64 dtype: object 要强制使用单个dtype: df = pd.DataFrame(data=d, dtype=np.int8) df.dtypes col1 int8 col2 int8 dtype: object 从包含Series的字典构造DataFrame d = {'col1': [0, 1, 2, 3], 'col2': pd.Series([2, 3], index=[2, 3])} pd.DataFra...
read_csv(StringIO(web_data.text)) 导出输出数据 # 导出数据到CSV文件 df.to_csv('filename.csv') # 导出数据到Excel文件 df.to_excel('filename.xlsx', index=True) # 导出数据到 SQL 表 df.to_sql(table_name, connection_object) #以Json格式导出数据到文本文件 df.to_json(filename) # 其他 ...
pct_change,当前元素与前一个元素之间的变化百分比 skew偏态,无偏态(三阶矩) kurt或kurtosis,无偏峰度(四阶矩) cov、corr和autocorr、协方差、相关和自相关 rolling滚动窗口、加权窗口和指数加权窗口 重复数据 在检测和处理重复数据时需要特别小心,如下图所示: ...
# Convert string to an integer df["Fee"] = df["Fee"].astype(int) print (df.dtypes) # Change specific column type df.Fee = df['Fee'].astype('int') print(df.dtypes) # Output: # Courses object # Fee int32 # Duration object ...
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pct_change() Returns the percentage change between the previous and the current value pipe() Apply a function to the DataFrame pivot() Re-shape the DataFrame pivot_table() Create a spreadsheet pivot table as a DataFrame pop() Removes an element from the DataFrame pow() Raise the values of...