Bar chart of capitals by latitude in 5 degree increments in the lower left of the figure

by Brianna   Last Updated April 16, 2019 00:22 AM

Trying to figure out how to plot a bar graph with my lat and long data (minus Alaska and Hawaii)... The bar graph also needs to be in 5 degree increments.

Here is my code so far for the 3 part image... I'm new at python so bear with me. from matplotlib import pyplot as plt import numpy as np import geopandas as gp import TopherInOut import StateGeomFuncs import capitalguessFUNC

figure size. shows what each section size should be

plt.figure(figsize=(8, 6), dpi=90)

gives width of the bar

BAR GRAPH

lat and count are just varibles, could be anything

Lat=[10,20,30] Count=[3, 9, 2]

labels the x axis subheadings

plt.xticks([10,20,30],['10-20','20-30','30-40'], fontsize=10)

labels the x axis

plt.xlabel('Latitudes')

labels the y axis subheadings

plt.yticks([10,20,30],['10-20','20-30','30-40'], fontsize=10)

labels the y axis subheading

plt.ylabel('Count')

labels the heading y axis

gridsize tells you what the grid is going to look like/ layout

so it gives you a set of columns and rows

col span and row span

gridsize=(3,2)

this is the upper left corner of the grid

upper left labeling

0,0 says to start at the upper left corner

its going to plot across 2 rows and 2 columns, but ONLY plot where it intersects

ax1 = plt.subplot2grid(gridsize, (0, 0), colspan=2, rowspan=2)

lower left labeling

ax2 = plt.subplot2grid(gridsize, (2, 0))

lower right labeling

ax3 = plt.subplot2grid(gridsize, (2, 1))

calling the dict of dict where i saved my capital lat and long data

LatLongVariable=capitalguessFUNC.initial_list()

#creating a scatter plot and calling in the data #however, it isnt plotting for some reason?????????????????????????

ax1.scatter(LatLongVariable["capital latitude"])

ax1.scatter(LatLongVariable["capital longitude"])

labeling axis number two as a bar graph

ax2.bar(Lat, Count, width=9.0)

set the x tick marks to 10 20 30

ax2.set_xticks([10,20,30])

labels x

ax2.set_xticklabels(['10-20','20-30','30-40'])

labels the y axis and font size

ax2.set_yticklabels(['0','5', '10', '15', '20'],fontsize=7)

labeling axis number three as a bar graph

ax3.bar(Lat, Count, width=9.0)

set the x tick marks to 10 20 30

ax3.set_xticks([10,20,30])

labels x

ax3.set_xticklabels(['10-20','20-30','30-40'])

labels the y axis and font size

ax3.set_yticklabels(['0','5', '10', '15', '20'],fontsize=7)

places the title above axis 1

ax1.set(title='Continguous States')

CapLat=[40.27, 32.3615, 58.301935, 33.448457, 34.736009, 38.555605, 39.7391667,41.767,39.161921, 30.4518, 33.76,21.30895, 43.613739, 39.783250, 39.790942, 41.590939, 39.04, 38.197274, 30.45809, 44.323535, 38.972945, 42.2352, 42.7335, 44.95, 32.320 , 38.572954, 46.595805, 40.809868, 39.160949,43.220093, 40.221741, 35.667231, 42.659829, 35.771, 48.813343, 39.962245, 35.482309, 44.931109, 40.269789, 41.82355, 34.000, 44.367966, 36.165, 30.266667, 40.7547, 44.26639, 37.54, 47.042418, 38.349497, 43.074722, 33.448457] CapLon=[-76.89, -86.279118, -134.419740, -112.073844,-92.331122, -121.468926, -104.984167,-72.677, -75.526755, -84.27277, -84.39, -157.826182, -116.237651, -89.650373, -86.147685, -93.620866, -95.69, -84.86311, -91.140229, -69.765261, -76.501157, -71.0275, -84.5467, -93.094, -90.207, -92.189283, -96.675345, -119.753877, -71.549127, -74.756138, -105.964575,-73.781339, -78.638, -100.779004, -83.000647, -97.534994, -123.029159, -76.875613, -71.422132, -81.035, -100.336378, -86.784, -97.75, -111.892622,-72.57194, -77.46, -122.893077, -81.633294, -89.384444, -112.073844]

read a shapefile

contigstates=StateGeomFuncs.ReadShapefile()

plot the map data

contigstates.plot(ax=ax1)

ax1.scatter(CapLon, CapLat, marker="*", color='gold', label="Capitals")

this is where the bar graph starts

lat is the x axis

Lat=[10,20,30] Count=[3,9,2]

giving each section a legend so the user gets what is displayed

legend and location

ax1.legend(loc='upper left') ax2.legend(loc='upper left')
ax3.legend(loc='upper left')



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