def HexBin(ages, weights, bins=None):
"""Make a hexbin plot and save it.
ages: sequence of float
weights: sequence of float
bins: 'log' or None for linear
"""
thinkplot.HexBin(ages, weights, bins=bins)
thinkplot.Config(xlabel='age (years)', ylabel='weight (lbs)', legend=False)
def HexBin(heights, weights, bins=None):
"""Make a hexbin plot and save it.
heights: sequence of float
weights: sequence of float
bins: 'log' or None for linear
"""
thinkplot.HexBin(heights, weights, bins=bins)
thinkplot.Config(xlabel='height (cm)',
ylabel='weight (kg)',
axis=[140, 210, 20, 200],
legend=False)
def HexBin(root, heights, weights, bins=None):
"""Make a hexbin plot and save it.
root: string filename root
heights: sequence of float
weights: sequence of float
bins: 'log' or None for linear
"""
thinkplot.HexBin(heights, weights, bins=bins)
thinkplot.Save(root=root,
xlabel='Height (cm)',
ylabel='Weight (kg)',
axis=[140, 210, 20, 200],
legend=False)
sample = SampleRows(df, 5000)
heights, weights = sample.htm3, sample.wtkg2
## Jitter data
heights = Jitter(heights, 1.4)
weights = Jitter(weights, 0.5)
## make scatter plot
thinkplot.Scatter(heights, weights, alpha=0.1, s=10)
thinkplot.Show(xlabel='Height (cm)',
ylabel='Weight (kg)',
axis=[140, 210, 20, 200],
legend=False)
## make HexBin plot
thinkplot.HexBin(heights, weights)
thinkplot.Show(xlabel='Height (cm)',
ylabel='Weight (kg)',
axis=[140, 210, 20, 200],
legend=False)
## now use entire dataset
heights_all, weights_all = sample.htm3, sample.wtkg2
heights_all = Jitter(heights, 1.4)
weights_all = Jitter(weights, 0.5)
## make scatter plot
thinkplot.PrePlot(num=2, cols=2)
thinkplot.SubPlot(1)
thinkplot.Scatter(heights_all, weights_all, alpha=0.1, s=10)
thinkplot.Show(xlabel='Height (cm)',
def HexBin(ages, weights, bins=None):
thinkplot.HexBin(ages, weights, bins=bins)
thinkplot.Config(xlabel='age (years)', ylabel='weight (lbs)', legend=False)