Created
May 29, 2020 02:24
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def init_callbacks(app, countFreq): | |
@app.callback( | |
[dash.dependencies.Output('frequency_word_bargraph', 'figure'), | |
dash.dependencies.Output('matplotlib-graph', 'src')], | |
[dash.dependencies.Input('range_frequency_number', 'value')]) | |
def update_graph(value): | |
newGraph = countFreq[value[0]:value[1]] | |
wordcloud = WordCloud(height=500, width=500, background_color="white", contour_color='white', colormap="magma").generate_from_frequencies(newGraph) | |
buf = io.BytesIO() # in-memory files | |
plt.figure() | |
plt.imshow(wordcloud, interpolation="bilinear") | |
plt.axis("off") | |
plt.savefig(buf, format = "png", dpi=600, bbox_inches = 'tight', pad_inches = 0) # save to the above file object | |
data = base64.b64encode(buf.getbuffer()).decode("utf8") # encode to html elements | |
plt.close() | |
return [ | |
{ | |
'data': [ | |
{ | |
'x': newGraph.index, | |
'y': newGraph.values, | |
'name': 'first example in Dash', | |
'type': 'bar' | |
} | |
], | |
'layout': { | |
'title': 'Coronvirus Tweet Word Frequency.' | |
} | |
}, | |
"data:image/png;base64,{}".format(data) | |
] |
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