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# Bar chart
def plot_data(data):
    
    data['Count'] = 1
    plot_data = data[['amount','currency','Count']]
    plot_data = plot_data.groupby(["currency"],as_index=False).Count.sum()
    
    with chart_output:
        print("Total data: ", len(data))
        plot_bar(plot_data, x="currency", y="Count", color="currency")

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def filter_data(data):
    
    # Creating Dropdowns and buttons
    dropdown_currency = widgets.Dropdown(options=data.currency.unique(), description='Currency:')

    # Event handler for dropdowns 
    def dropdown_currency_eventhandler(change):
        common_filtering(data, change.new)
    
    #Call

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# Only keep transactions where amount is < 1000
data = data[data.amount < 1000]

with data_process_output:
    print(f"Processed a total of {len(data)} transactions.")

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# Load existing vectorizer/model to make predictions
count_vectorizer = joblib.load("../supplementary/count_vectorizer")
data_ = data["Message"].tolist()
x_test = count_vectorizer.transform(data_)

model = joblib.load("../supplementary/game_classifier")
y_predicted = model.predict(x_test)

with data_process_output:
    print(f"Predicted total {len(y_predicted)} values... Done.")

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# Upload file and Upload button
upload_btn_output = widgets.Output()
display(upload_btn_output)

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#Event handler for upload button
def upload_btn_eventhandler(obj):
    
    #Clear output before each run
    with data_process_output:
        clear_output()
    
    #Read file
    for file_name in upload_file.value:
        

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# Imports
import ipywidgets as widgets

# Buttons
upload_file = widgets.FileUpload(multiple=False)
upload_btn = widgets.Button(description="Upload and Predict", icon='check', button_style='success')
upload_btn.on_click(upload_btn_eventhandler)
input_widgets = widgets.HBox([upload_file, upload_btn])
with upload_btn_output:
    display(input_widgets)

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#Import Library
import folium
import pandas as pd
from folium.plugins import MarkerCluster

#Load Data
data = pd.read_excel("tesla-supercharger-france.xlsx")
latitude = data['Ylatitude']
longitude = data['Xlongitude']
station = data['n_station']

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#Import Library
import folium
import pandas as pd

#Load Data
data = pd.read_excel("tesla-supercharger-france.xlsx")
latitude = data['Ylatitude']
longitude = data['Xlongitude']
station = data['ad_station']

Dhrumilcse

  #Import Library
import folium
import pandas as pd

#Load Data
data = pd.read_excel("tesla-supercharger-france.xlsx")
latitude = data['Ylatitude']
longitude = data['Xlongitude']
station = data['ad_station']