altair_384well_heatmap

# given a pandas df object, 'qc_df', including a '384Well' column and two other metrics columns

metric1 = 'median_depth'
metric2 = 'n_mapped_reads'

get_row = lambda x: x[0]
qc_df['plate_y'] = qc_df['384Well'].apply(get_row)
def get_col(x):
    num = x[1:]
    if len(num) == 1:
        num = "0" + num
    return num
qc_df['plate_x'] = qc_df['384Well'].apply(get_col)

alt.Chart(qc_df).mark_square().encode(
    x = alt.X('plate_x', axis=alt.Axis(title='')),
    y = alt.Y('plate_y', axis=alt.Axis(title='')),
    color = alt.Color(metric1, scale=alt.Scale(scheme="viridis")),
    size = metric2
).properties(
    width=600,
    height=450
)