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اختصاصی سازی مقادیر نمایش داده شده در pandas
یکی از ویژگی های جالب پانداس، امکانات بسیار خوبی است که برای اختصاصی سازی داده ها به کاربر می دهد. برای مثال فرض کنید می خواهیم به جای داده های Nan عبارت خالی را نمایش دهیم. یا می خواهیم داده ها را به صورت سه رقم سه رقم نمایش دهیم. برای این کار به آسانی می توانیم از style.format استفاده کنیم.
در مثال این پست، اختصاصی سازی داده ها برای مقادیر مختلف نمایش داده می شود.

import pandas as pd
df = pd.DataFrame([[np.nan, 1234567, np.nan], [2.0, 'A' , 3.0]])
df.style.format(thousands=",", precision=2 , decimal="/", na_rep='خالی')

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6.0K viewsNov 3, 2024 at 11:02

tg-me.com/python4finance/1061

Create: 2024-11-03
Last Update: 2025-07-01 13:20:28

import pandas as pd
df = pd.DataFrame([[np.nan, 1234567, np.nan], [2.0, 'A' , 3.0]])
df.style.format(thousands=",", precision=2 , decimal="/", na_rep='خالی')

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