import pandas
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.signal as sig


def coeff(force, rho=1, u=1, D=1, zspan=0.2):
    S = np.pi * D * zspan  # surface area
    return 2 * force / (rho * u**2 * S)


def shedding_period(df):
    sample = df[df["Time"] > 70]  # once the initial transient has passed
    peaks, _ = sig.find_peaks(sample["ForceY"])
    period = np.diff(sample["Time"].iloc[peaks])
    return period.mean()


df = pandas.read_csv("force.csv")
df["Drag Coefficient"] = coeff(df["ForceX"])
df["Lift Coefficient"] = coeff(df["ForceY"])
period = shedding_period(df)

sns.set_theme(style="ticks")
palette = sns.color_palette()
fig, ax_drag = plt.subplots()
ax_lift = ax_drag.twinx()

sns.lineplot(data=df, x="Time", y="Drag Coefficient", ax=ax_drag, color=palette[0])
sns.lineplot(data=df, x="Time", y="Lift Coefficient", ax=ax_lift, color=palette[1])
ax_drag.set_title(f"Shedding period {period}")
ax_drag.set_ylim(0.41, 0.48)
ax_drag.tick_params(axis="y", colors=palette[0])
ax_drag.yaxis.label.set_color(palette[0])
ax_lift.tick_params(axis="y", colors=palette[1])
ax_lift.yaxis.label.set_color(palette[1])

# plt.savefig("vortexshedding.svg")
plt.show()