In thisPythonpost you’ll learn how toconvert the object data type to a string in a pandas DataFrame column. The page will consist of these contents: 1)Example Data & Add-On Libraries 2)Example 1: astype() Func
Example 1: Convert Boolean Data Type to String in Column of pandas DataFrameIn Example 1, I’ll demonstrate how to transform a True/False logical indicator to the string data type.For this task, we can use the map function as shown below:data_new1 = data.copy() # Create copy of ...
# convert column "a" of a DataFrame df["a"] = pd.to_numeric(df["a"]) 1. 2. 3. 4. 你还可以通过以下apply()方法使用它来转换DataFrame的多个列: # convert all columns of DataFrame df = df.apply(pd.to_numeric) # convert all columns of DataFrame # convert just columns "a" and "b...
DataFrame2.to_excel(writer, sheet名2,index=False,encoding= 字符集) writer = pd.ExcelWriter("D:/yutingxin/SFS维护/OSS/表/删除重复OSS_" + datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d') + "_" + str(len(ossDoubleDelete)) + ".xlsx") ossDouble.to_excel(writer, "重复OS...
to_timestamp([freq, how, axis, copy])将时间戳的数据类型转换为DatatimeIndex，位于周期的开始处。
to_timestamp([freq, how, axis, copy])将时间戳的数据类型转换为DatatimeIndex，位于周期的开始处。
Method 3 : Convert float type column to int using astype() method by specifying data types Method 4 : Convert string/object type column to int using astype() method Method 5 : Convert string/object type column to int using astype() method with dictionary Method 6 : Convert string/obje...
Convert to SparseDataFrameDataFrame.to_dense()Return dense representation of NDFrame (as opposed to sparse)DataFrame.to_string([buf, columns, …])Render a DataFrame to a console-friendly tabular output.DataFrame.to_clipboard([excel, sep])Attempt to write text representation of object to the ...
to_json([path_or_buf, orient,…]) #Convert the object to a JSON string. DataFrame.to_html([buf, columns, col_space]) #Render a DataFrame as an HTML table. DataFrame.to_feather(fname) #write out the binary feather-format for DataFrames DataFrame.to_latex([buf, columns,…]) #Render...
Convert pandas DataFrame manipulations to sql query string. Support: sqlite Try it yourself >>> import pandas as pd >>> import pandas_to_sql >>> iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv') >>> df = pandas_to_sql.wrap_df(iris, tabl...