Minor changes in plotting functions

src/PlotImpact.jl

@@ -6,8 +6,8 @@ Plots histograms of the number of line failures for given values of γ
 =#
 function plothist_tl_failures(
         γ_values::Array{Float64,1}, 
-        N_runs::Int64, 
-        rstep = 20; # number of realizations that were saved together
+        N_runs::Int64; 
+        rstep = 20, # number of realizations that were saved together
         datapath = "", # path to folder containing different γ scans
         plotpath = "" # where to save the plot
     )
@@ -35,15 +35,17 @@ function plothist_tl_failures(
         γ::Float64,
         N_runs::Int64,
         rstep = 20; # number of realizations that were saved together
-        datapath::String, # path to folder containing data files
-        plotpath::String # where to save the plot
+        datapath = "", # path to folder containing data files
+        plotpath = "", # where to save the plot
     )
 
     Nf = zeros(Int64, N_runs) # array for number of failures
     
     ### Read data and save the number of failures that occured in each run
     for i in rstep:rstep:N_runs
-        res = load(datapath * "gamma$γ/" * "results_$γ" * "_$i.jld2", "result")
+        res = load(datapath * "Ike_impact_gamma$γ/scan_data/" * 
+            "tl_failures_gamma$γ" * "_n$(i-rstep+1)_to_n$i.jld2", "result"
+        )
         for j in 1:rstep
             Nf[i-rstep+j] = length(res[j])
         end
@@ -64,7 +66,7 @@ function plothist_tl_failures(
         [no_marker for i in 1:4], 
         [L"γ = " * "$γ", 
         L"N_r = " * "$N_runs", 
-        L"\bar{N}_\mathrm{f} \approx" * "$mean_Nf", 
+        L"\widebar{N}_\mathrm{f} \approx" * "$mean_Nf", 
         L"\sigma_\mathrm{f} \approx" * "$σ"], 
         handletextpad = 0, handlelength = 0
     )
@@ -74,8 +76,10 @@ function plothist_tl_failures(
     plt.ylabel("Frequency")
 
     ### Save and close figure
-    figpath = plotpath * "Texas_hist_tl_failures_gamma$γ.png"
-    plt.savefig(figpath, bbox_inches="tight")
+    if isempty(plotpath) == false
+        figpath = plotpath * "gamma$γ.png"
+        plt.savefig(figpath, bbox_inches="tight")
+    end
     plt.clf()
 
     return mean_Nf, σ