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| b64 = base64.b64encode(csv.encode()).decode() # some strings <-> bytes conversions necessary here | ||
| href = f'<a href="data:file/csv;base64,{b64}">Download csv file</a>' | ||
| return href | ||
| return f'<a href="data:file/csv;base64,{b64}">Download csv file</a>' |
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Function get_table_download_link refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| st.markdown('Você selecionou : ' +str(select_method)) | ||
| st.markdown(f'Você selecionou : {str(select_method)}') |
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Function main refactored with the following changes:
- Use f-string instead of string concatenation (
use-fstring-for-concatenation)
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| chart = alt.Chart(df, width=600).mark_bar().encode( | ||
| alt.X(coluna, bin=True), | ||
| y='count()', tooltip=[coluna, 'count()'] | ||
| ).interactive() | ||
| return chart | ||
| return ( | ||
| alt.Chart(df, width=600) | ||
| .mark_bar() | ||
| .encode( | ||
| alt.X(coluna, bin=True), y='count()', tooltip=[coluna, 'count()'] | ||
| ) | ||
| .interactive() | ||
| ) |
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Function criar_histograma refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| bars = alt.Chart(df, width = 600).mark_bar().encode( | ||
| x=alt.X(coluna_num, stack='zero'), | ||
| y=alt.Y(coluna_cat), | ||
| tooltip=[coluna_cat, coluna_num] | ||
| ).interactive() | ||
| return bars | ||
| return ( | ||
| alt.Chart(df, width=600) | ||
| .mark_bar() | ||
| .encode( | ||
| x=alt.X(coluna_num, stack='zero'), | ||
| y=alt.Y(coluna_cat), | ||
| tooltip=[coluna_cat, coluna_num], | ||
| ) | ||
| .interactive() | ||
| ) |
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Function criar_barras refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| boxplot = alt.Chart(df, width=600).mark_boxplot().encode( | ||
| x=coluna_num, | ||
| y=coluna_cat | ||
| return ( | ||
| alt.Chart(df, width=600) | ||
| .mark_boxplot() | ||
| .encode(x=coluna_num, y=coluna_cat) | ||
| ) | ||
| return boxplot |
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Function criar_boxplot refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| scatter = alt.Chart(df, width=800, height=400).mark_circle().encode( | ||
| alt.X(x), | ||
| alt.Y(y), | ||
| color = color, | ||
| tooltip = [x, y] | ||
| ).interactive() | ||
| return scatter | ||
| return ( | ||
| alt.Chart(df, width=800, height=400) | ||
| .mark_circle() | ||
| .encode(alt.X(x), alt.Y(y), color=color, tooltip=[x, y]) | ||
| .interactive() | ||
| ) |
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Function criar_scatterplot refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| mean = st.checkbox('Média') | ||
| if mean: | ||
| if mean := st.checkbox('Média'): | ||
| st.markdown(df[col].mean()) | ||
| median = st.checkbox('Mediana') | ||
| if median: | ||
| if median := st.checkbox('Mediana'): | ||
| st.markdown(df[col].median()) | ||
| desvio_pad = st.checkbox('Desvio padrão') | ||
| if desvio_pad: | ||
| if desvio_pad := st.checkbox('Desvio padrão'): | ||
| st.markdown(df[col].std()) | ||
| kurtosis = st.checkbox('Kurtosis') | ||
| if kurtosis: | ||
| if kurtosis := st.checkbox('Kurtosis'): | ||
| st.markdown(df[col].kurtosis()) | ||
| skewness = st.checkbox('Skewness') | ||
| if skewness: | ||
| if skewness := st.checkbox('Skewness'): | ||
| st.markdown(df[col].skew()) | ||
| describe = st.checkbox('Describe') | ||
| if describe: | ||
| if describe := st.checkbox('Describe'): | ||
| st.table(df[colunas_numericas].describe().transpose()) | ||
| st.subheader('Visualização dos dados') | ||
| st.image('https://media.giphy.com/media/Rkoat5KMaw2aOHDduz/giphy.gif', width=200) | ||
| st.markdown('Selecione a visualizacao') | ||
| histograma = st.checkbox('Histograma') | ||
| if histograma: | ||
| if histograma := st.checkbox('Histograma'): | ||
| col_num = st.selectbox('Selecione a Coluna Numerica: ', colunas_numericas,key = 'unique') | ||
| st.markdown('Histograma da coluna : ' + str(col_num)) | ||
| st.markdown(f'Histograma da coluna : {str(col_num)}') | ||
| st.write(criar_histograma(col_num, df)) | ||
| barras = st.checkbox('Gráfico de barras') | ||
| if barras: | ||
| if barras := st.checkbox('Gráfico de barras'): | ||
| col_num_barras = st.selectbox('Selecione a coluna numerica: ', colunas_numericas, key = 'unique') | ||
| col_cat_barras = st.selectbox('Selecione uma coluna categorica : ', colunas_object, key = 'unique') | ||
| st.markdown('Gráfico de barras da coluna ' + str(col_cat_barras) + ' pela coluna ' + col_num_barras) | ||
| st.markdown( | ||
| f'Gráfico de barras da coluna {str(col_cat_barras)} pela coluna ' | ||
| + col_num_barras | ||
| ) | ||
| st.write(criar_barras(col_num_barras, col_cat_barras, df)) | ||
| boxplot = st.checkbox('Boxplot') | ||
| if boxplot: | ||
| if boxplot := st.checkbox('Boxplot'): | ||
| col_num_box = st.selectbox('Selecione a Coluna Numerica:', colunas_numericas,key = 'unique' ) | ||
| col_cat_box = st.selectbox('Selecione uma coluna categorica : ', colunas_object, key = 'unique') | ||
| st.markdown('Boxplot ' + str(col_cat_box) + ' pela coluna ' + col_num_box) | ||
| st.markdown(f'Boxplot {str(col_cat_box)} pela coluna ' + col_num_box) | ||
| st.write(criar_boxplot(col_num_box, col_cat_box, df)) | ||
| scatter = st.checkbox('Scatterplot') | ||
| if scatter: | ||
| if scatter := st.checkbox('Scatterplot'): | ||
| col_num_x = st.selectbox('Selecione o valor de x ', colunas_numericas, key = 'unique') | ||
| col_num_y = st.selectbox('Selecione o valor de y ', colunas_numericas, key = 'unique') | ||
| col_color = st.selectbox('Selecione a coluna para cor', colunas) | ||
| st.markdown('Selecione os valores de x e y') | ||
| st.write(criar_scatterplot(col_num_x, col_num_y, col_color, df)) | ||
| correlacao = st.checkbox('Correlacao') | ||
| if correlacao: | ||
| if correlacao := st.checkbox('Correlacao'): |
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Function main refactored with the following changes:
- Use named expression to simplify assignment and conditional [×11] (
use-named-expression) - Use f-string instead of string concatenation [×5] (
use-fstring-for-concatenation)
| df = pd.read_csv(self.path_train) | ||
| return df | ||
|
|
||
| return pd.read_csv(self.path_train) |
Author
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Function DataSource.read_data refactored with the following changes:
- Inline variable that is immediately returned (
inline-immediately-returned-variable)
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| else: | ||
| pass |
Author
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Function Preprocessing.process refactored with the following changes:
- Remove redundant pass statement (
remove-redundant-pass)
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