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September 7, 2020 19:36
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Plot NRC
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def plot_nrc(df, title): | |
i = 0 | |
j = 0 | |
scores = pd.DataFrame(np.zeros((df.shape[0] // 750, 10)), columns = NRC_sentiments) | |
while i < df.shape[0] - 750: | |
scores.iloc[j] = df.loc[i:i + 750, 'anger':'trust'].sum() | |
i += 750 | |
j += 1 | |
grid_kws = {"height_ratios": (.9, .05), "hspace": .2} | |
f, (ax, cbar_ax) = plt.subplots(2, gridspec_kw=grid_kws, figsize=(10,3)) | |
ax = sns.heatmap(scores.transpose(), | |
ax=ax, | |
cbar_ax=cbar_ax, | |
cbar_kws={"orientation": "horizontal", "label" : \ | |
"Number of words conveying sentiment"}, | |
linewidths = 0.01, | |
xticklabels = False, | |
vmin = 0, | |
vmax = 125).set_title(title) |
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