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yearlist = np.sort(data['year'].unique())
imageio.mimsave('./yearmap.gif', [plot_map_gif(y) for y in yearlist], fps=1)

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def plot_map_gif(year):
    filterdata = data[data.year == year]
    df = pd.DataFrame()
    df['lat'] = pd.to_numeric(filterdata['latitude'], errors='coerce')
    df['long'] = pd.to_numeric(filterdata['longitude '], errors='coerce')
    df = df.dropna()
    
    fig = plt.figure(figsize=(20,10))
    plt.rcParams.update({'font.size': 20})

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    fig.canvas.draw()
    image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')
    image  = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))

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def plot_map_gif(year):
    filterdata = data[data.year == year]
    df = pd.DataFrame()
    df['lat'] = pd.to_numeric(filterdata['latitude'], errors='coerce')
    df['long'] = pd.to_numeric(filterdata['longitude '], errors='coerce')
    df = df.dropna()
    
    fig = plt.figure(figsize=(20,10))
    plt.rcParams.update({'font.size': 20})

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def plot_map_gif(year):
    filterdata = data[data.year == year]

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def plot_map_gif(year):

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import imageio

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# Separate Latitude and Longitude, Re-format, Clean
df = pd.DataFrame()
df['lat'] = pd.to_numeric(filterdata['latitude'], errors='coerce')    # Change to filterdata here
df['long'] = pd.to_numeric(filterdata['longitude '], errors='coerce') # Change to filterdata here
df = df.dropna()

# Set Figure and Font Sizes
fig = plt.figure(figsize=(20,10))
plt.rcParams.update({'font.size': 20})

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filterdata = data[data.year >= 2010]

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data['date posted'] = pd.to_datetime(data['date posted'])
data['year'] = pd.DatetimeIndex(data['date posted']).year