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Runtime error
Runtime error
feat: n samples and messaging improved Plotting
Browse files- pages/1_📈_Plotting.py +16 -5
pages/1_📈_Plotting.py
CHANGED
@@ -3,9 +3,8 @@ import pandas as pd
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st.header("Plotting Time-Series Data")
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st.markdown("Users can load their time-series data in **.csv** format and select particular feature and plot-type to visualize it.\
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Go ahead and use the sidebar on the left to upload your data files and to start visualizing it!")
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st.caption("Upload your data using the sidebar to start and select a plot-type to start :sunglasses:")
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def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
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@@ -28,12 +27,24 @@ def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
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with st.sidebar:
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plot = st.radio("Select the kind of visualization:",('Plot feature', 'Compare users', 'Plot distribution'))
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file = st.file_uploader("Load CSV file", accept_multiple_files = False)
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if file:
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df = pd.read_csv(file)
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if 'df' not in st.session_state:
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st.session_state['df'] = df
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if 'df' in list(st.session_state.keys()):
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st.
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st.header("Plotting Time-Series Data")
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st.markdown("Users can load their time-series data in **.csv** format and select a particular feature and plot-type to visualize it.\
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Go ahead and use the sidebar on the left to upload your data files and to start visualizing it!")
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def plot_collection(plot_only_this, collection, number_of_desired_plots=0):
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with st.sidebar:
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plot = st.radio("Select the kind of visualization:",('Plot feature collection', 'Compare users', 'Plot distribution'))
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file = st.file_uploader("Load CSV file", accept_multiple_files = False)
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if file:
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df = pd.read_csv(file, index_col = False)
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if 'df' not in st.session_state:
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st.session_state['df'] = df
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st.success("Your data has been successfully loaded! 🤗")
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if 'df' in list(st.session_state.keys()):
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st.markdown("Your uploaded data:")
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st.dataframe(st.session_state.df)
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else:
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else:
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st.caption("Upload your data using the sidebar and select a plot-type to start :sunglasses:")
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df_base = st.dataframe(st.session_state.df)
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n = len(df_base)
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st.info("Your data has {} samples.")
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n_plot = st.slider("How many samples do you want to plot in the same graph", list(range(n)))
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st.write(f"Action: {plot} using {n_plot} samples")
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st.button("Plot now! 📊")
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