Use pandas DataFrame.astype(int) and DataFrame.apply() methods to cast float column to integer(int/int64) type. I believe you would know float is bigger
You can use the PandasDataFrame.astype()function to convert a column from string/int to float, you can apply this on a specific column or on an entire DataFrame. To cast the data type to a 54-bit signed float, you can usenumpy.float64,numpy.float_,float,float64as param. To cast to...
Name: A, dtype: float64 In [34]: s[::2] Out[34]: 2000-01-01 0.469112 2000-01-03 -0.861849 2000-01-05 -0.424972 2000-01-07 0.404705 Freq: 2D, Name: A, dtype: float64 In [35]: s[::-1] Out[35]: 2000-01-
Use the to_numeric() function to convert column to int The simplest and the most basic way to convert the elements in a Pandas Series or DataFrame to int. The to_numeric() function is used to change one or more columns in a Pandas DataFrame into a numeric object. This function convert...
df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip-code 6040 non-null object dtypes: int64(3), object(2...
It is also possible to transform multiple variables to a different data type. In Example 2, I’ll show how to change the data class of two variables from integer to float. Once again, we can use the astype function for this: data_new2=data.copy()# Create copy of DataFramedata_new2=...
df[column_name].fillna(x) s.astype(float) # 将Series中的数据类型更改为float类型 s.replace(1,'one') # ‘one’代替所有等于1的值 s.replace([1,3],['one','three']) # 'one'代替1,'three'代替3 df.rename(columns=lambdax:x+1) # 批量更改列名 df.rename(columns={'old_name':'new_ ...
`int` :class:`pandas.arrays.IntegerArray`:class:`float` :class:`pandas.arrays.FloatingArray`:class:`str` :class:`pandas.arrays.StringArray` or:class:`pandas.arrays.ArrowStringArray`:class:`bool` :class:`pandas.arrays.BooleanArray`===The ExtensionArray created when the scalar type is :class...
4.MultiIndex可在 column 上设置 indexs 的多层索引 我们可以使用MultiIndex.from_product()函数创建一个...
df['date'] = pd.to_datetime(df['date'])df['return'] = df['close'].pct_change()# 分析volatility = df['return'].std() 医疗数据分析:# 加载数据df = pd.read_csv('medical.csv')# 数据清洗df['age'] = df['age'].astype('int')df['bmi'] = df['weight'] / (df['height'] *...