In [20]: ts2["id"] = pd.to_numeric(ts2["id"], downcast="unsigned") In [21]: ts2[["x", "y"]] = ts2[["x", "y"]].apply(pd.to_numeric, downcast="float") In [22]: ts2.dtypes Out[22]: id uint16 name category x float32 y float32 dtype: object 代码语言:javascrip...
# Convert data type of Order Quantity column to numeric data typedf["Order Quantity"] = pd.to_numeric(df["Order Quantity"])to_timedelta()方法将列转换为timedelta数据类型，如果值表示持续时间，可以使用这个函数 # Convert data type of Duration column to timedelta typedf["Duration "] = pd.to_t...
Out[4]:03/11/200013/12/200023/13/2000dtype:object In[5]:pd.to_datetime(s,infer_datetime_format=True)Out[5]:02000-03-1112000-03-1222000-03-13dtype:datetime64[ns]# 还可以将时间戳转化为日期 In[6]:s=pd.Series([1490195805,1590195805,1690195805])In[7]:pd.to_datetime(s,unit='s')Out...
If you have a DataFrame with all string columns holding integer values, you can simply convert it to int dtype using as below. If you have any column that has alpha-numeric values, this returns an error. If you run this on our DataFrame, you will get an error. # Convert all columns ...
Convert All Columns to Float Type By default astype() function converts all columns to the same type. The below example converts all DataFrame columns to float type. If you have any column with alpha-numeric values, you will get an error. ...
columns：索引或类似数组 用于生成结果帧时使用的列标签。如果数据没有列标签，则默认为RangeIndex（0, ...
import numpy as np import matplotlib.path as mpath # 数据准备 species = df['species'].unique() data = [] # 只选择数值列(排除 species 列) numeric_columns = df.columns[:-1] for s in species: data.append(df[df['species'] == s][numeric_columns].mean().values) # 将 data 列表转换...
The to_numeric() function can be used to convert multiple columns of a DataFrame as well as using the apply() method. The following code implements the to_numeric() function to convert the datatype of all the columns to int. 1 2 3 4 5 6 7 8 import pandas as pd df = pd.DataFra...
(f, axis="columns") File ~/work/pandas/pandas/pandas/core/frame.py:10374, in DataFrame.apply(self, func, axis, raw, result_type, args, by_row, engine, engine_kwargs, **kwargs) 10360 from pandas.core.apply import frame_apply 10362 op = frame_apply( 10363 self, 10364 func=func, ...
dtype:Type nameordictofcolumn->type,defaultNoneDatatypefordataorcolumns. E.g. {'a':np.float64,'b':np.int32} Use `object`topreserve dataasstoredinExcelandnotinterpret dtype. If converters are specified, they will be applied INSTEADofdtype conversion...versionadded::0.20.0true_values:list,...