Ground Vortex Aerodynamics Paper - Figure 10F Demo¶
In [1]:
import distorted as dt
import pandas as pd
In [2]:
df = pd.read_csv('data/Ground vortex aerodynamics Figure10f.csv')
sample = dt.Distortion(df)
In [3]:
sample.getDF()
Out[3]:
| Number | Span | Theta | Total Pressure | Static Pressure | |
|---|---|---|---|---|---|
| 0 | 0.0 | 0.0000 | 0.000000 | 0.0 | NaN |
| 1 | NaN | 0.1560 | 0.000000 | 0.0 | NaN |
| 2 | NaN | 0.2615 | 0.000000 | 0.0 | NaN |
| 3 | NaN | 0.3670 | 0.000000 | 0.0 | NaN |
| 4 | NaN | 0.4725 | 0.000000 | 0.0 | NaN |
| ... | ... | ... | ... | ... | ... |
| 385 | NaN | 0.5780 | 6.283185 | 0.0 | NaN |
| 386 | NaN | 0.6835 | 6.283185 | 0.0 | NaN |
| 387 | NaN | 0.7890 | 6.283185 | 0.0 | NaN |
| 388 | NaN | 0.8945 | 6.283185 | 0.0 | NaN |
| 389 | NaN | 1.0000 | 6.283185 | 0.0 | NaN |
390 rows × 5 columns
In [4]:
sample.plot_quantity('Total Pressure')
#Actually plotting the (Pinf-P)/qi values
Original data plot used for digitization: