diff --git a/content/bn/Day14.md b/content/bn/Day14.md index fcf6f27..b31999d 100644 --- a/content/bn/Day14.md +++ b/content/bn/Day14.md @@ -29,7 +29,7 @@ pip install streamlit_pandas_profiling ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -45,7 +45,7 @@ st_profile_report(pr) ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/de/Day14.md b/content/de/Day14.md index c5656f5..23b5bae 100644 --- a/content/de/Day14.md +++ b/content/de/Day14.md @@ -29,7 +29,7 @@ So erstellt man eine Streamlit App mithilfe einer Komponent: ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -45,7 +45,7 @@ Der erste Schritt für das Erstellen einer Streamlit App ist es, die `streamlit` ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/en/Day14.md b/content/en/Day14.md index e6a9128..b3812cb 100644 --- a/content/en/Day14.md +++ b/content/en/Day14.md @@ -29,7 +29,7 @@ Here's how to build a Streamlit app using a component: ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -45,7 +45,7 @@ The very first thing to do when creating a Streamlit app is to start by importin ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/es/Day14.md b/content/es/Day14.md index ad738d4..7f37ed0 100644 --- a/content/es/Day14.md +++ b/content/es/Day14.md @@ -29,7 +29,7 @@ Aquí se explica cómo crear una aplicación Streamlit usando un componente: ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -45,7 +45,7 @@ Lo primero que debe hacer al crear una aplicación Streamlit es comenzar importa ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/fr/Day14.md b/content/fr/Day14.md index e2d8013..3903c5c 100644 --- a/content/fr/Day14.md +++ b/content/fr/Day14.md @@ -30,7 +30,7 @@ Voici comment créer une application Streamlit à l'aide d'un composant : ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -47,7 +47,7 @@ La première chose à faire lors de la création d'une app Streamlit est d'impor ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/hi/Day14.md b/content/hi/Day14.md index 326aeb2..7fdaae2 100644 --- a/content/hi/Day14.md +++ b/content/hi/Day14.md @@ -32,7 +32,7 @@ pip install streamlit_pandas_profiling ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -50,7 +50,7 @@ Streamlit ऐप बनाते समय सबसे पहली बात ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/ja/Day14.md b/content/ja/Day14.md index 750b5a6..5a2451b 100644 --- a/content/ja/Day14.md +++ b/content/ja/Day14.md @@ -31,7 +31,7 @@ pip install streamlit_pandas_profiling ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -49,7 +49,7 @@ Streamlitアプリを作成するときは、まず次のように`streamlit`ラ ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/pl/Day14.md b/content/pl/Day14.md index 327df45..3e7d840 100644 --- a/content/pl/Day14.md +++ b/content/pl/Day14.md @@ -31,7 +31,7 @@ Oto jak stworzyć aplikację w technologii Streamlit, która wykorzystuje kompon ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`Komponent streamlit_pandas_profiling`') @@ -49,7 +49,7 @@ Pierwszą rzeczą, jaką trzeba zrobić tworząc aplikację jest zaimportowanie ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/pt/Day14.md b/content/pt/Day14.md index 50d911d..739c512 100644 --- a/content/pt/Day14.md +++ b/content/pt/Day14.md @@ -29,7 +29,7 @@ Como contruir uma aplicação utilizando um componente ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -45,7 +45,7 @@ A primeira coisa a fazer quando estiver criando uma aplicação Strealit é impo ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/ru/Day14.md b/content/ru/Day14.md index 19ad7e4..bfd96c5 100644 --- a/content/ru/Day14.md +++ b/content/ru/Day14.md @@ -33,7 +33,7 @@ pip install streamlit_pandas_profiling ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -51,7 +51,7 @@ st_profile_report(pr) ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ``` diff --git a/content/zh/Day14.md b/content/zh/Day14.md index 4ec0ec8..93e94be 100644 --- a/content/zh/Day14.md +++ b/content/zh/Day14.md @@ -31,7 +31,7 @@ pip install streamlit_pandas_profiling ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report st.header('`streamlit_pandas_profiling`') @@ -49,7 +49,7 @@ st_profile_report(pr) ```python import streamlit as st import pandas as pd -import pandas_profiling +import ydata_profiling from streamlit_pandas_profiling import st_profile_report ```